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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 1679
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    Explanations

    photographs and their associated captions

    oai_token-act-pair · gpt-3.5-turbo

    references to images and their attributions in a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TPPStreamerBot
    -0.66
    rawdownloadcloneembedreportprint
    -0.64
    cffff
    -0.62
    conservancy
    -0.61
    compan
    -0.59
    Magikarp
    -0.59
    ↵Âł
    -0.57
    phony
    -0.56
    icum
    -0.56
    sense
    -0.56
    POSITIVE LOGITS
     Kev
    0.63
     Ezek
    0.60
     htt
    0.59
     IMAGES
    0.59
     TBD
    0.56
     Strait
    0.55
     bows
    0.54
     Eur
    0.54
    WARD
    0.54
     VIDE
    0.53
    Activations Density 0.168%

    No Known Activations